Free TikTok video transcription and virality analysis
Screen mirroring for iPhone and Mac to Chromecast, Google TV, Samsung and LG TVs
Stage
Not given
Not given
Founded
Not given
Not given
Based in
Not given
Not given
Pricing model
Freemium
Not given
Pricing
Free: one video without sign-up, then 4 free credits with account. Paid: 20 credits for $5.00 USD ($0.25 each), 60 credits for $12.00 USD ($0.20 each), or any amount from 20 to 1000 credits at $0.25 each (20-59) or $0.20 each (60+). One credit transcribes one video, two credits run full virality ana
Not given
Key features
AI speech-to-text transcription supporting 100+ languages with automatic detection
First video without sign-up
Multiple export formats: TXT, SRT, and VTT with or without timestamps
Virality Score and Hook Analysis
Video Engagement Score derived from views, comments, and likes
Bulk transcription for up to 50 links at once
Dashboard that saves every transcript
Supported URL formats: standard links, short links, and mobile share links
Hook rewrites and retention signal analysis
Second-by-second breakdown with timestamps and script metrics
Mirror entire iPhone or Mac display to TV
Cast video files in full quality without re-encoding
Automatic TV discovery on Wi-Fi network
No app or account required on TV
Audio-only casting mode
Adaptive quality based on Wi-Fi strength
Menu bar integration on Mac
Converts unsupported video formats while playing
No data collection or servers
What makes it different
No sign-up required for the first video transcription
Transcripts ready in 10-30 seconds on the same page
Supports 100+ languages with automatic detection including multilingual videos
Credits never expire and are refundable within 14 days if unspent
Pay only for completed work; failed transcriptions refund credits within a minute
Only app that enables iPhone screen mirroring to Chromecast without AirPlay
No account, setup or TV app installation needed
Automatic network discovery works across multiple TV brands
Preserves full video quality when casting files
Privacy-focused with no servers or data collection